Brief research report 12 april 2023 10.3389/fenrg.2022.1047381

HIGHLIGHTS

• who: TYPE and collaborators from the Tokyo Institute of Technology, Japan Tokyo University of Agriculture and have published the Article: Brief Research Report 12 April 2023 10.3389/fenrg.2022.1047381, in the Journal: (JOURNAL)
• what: The authors propose the Extreme Learning Kalman Filter (ELKF), a novel method that combines SPKF and ANN to give accurate short-term predictions of wind speed.
• how: The authors compared the proposed ELKF method with the AR model and the ANN model.
• future: Future work will also focus on using the clustering method to clean . . .
  

   

  

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